Unified AI Layer
Your AI is aware of every major model and never locked to one. Claude runs it today. Built model-agnostic, with Grok, Gemini, GPT, and over a hundred more rolling out. Switch by name, mid-conversation.
Want it built with you? See the 1-on-1 with Dan →
Twenty dollars gets you everything. Every tool. The full community. All the training in the dojo. Quinn, your AI workforce, ready to build whatever you describe. You do not buy features one at a time, and you do not pay for seats. You join, you build, and you only pay for what you actually process on top.
Quinn sits on three layers that make your AI work everywhere, with everything, on any model. Each one keeps evolving as we plug more in.
Your AI is aware of every major model and never locked to one. Claude runs it today. Built model-agnostic, with Grok, Gemini, GPT, and over a hundred more rolling out. Switch by name, mid-conversation.
Connect Quinn to the apps your team already lives in. Discord today. Slack and Teams next. Built surface-agnostic, so any messenger plugs into the same intelligence.
Quinn takes real action across your stack. Our own connections plus an external API aggregation layer reach 2,700+ tools, drawn from the best in the industry. The layer keeps growing: a Social Media layer and an Ads layer are next.
In open beta, six months of real-world testing. This is your chance to get in early and be part of the AI revolution.
A recipe is a workflow you save once and run with a link. They start dead simple and go as deep as you want.
One step, one tool. Quinn scans your inbox, sorts it into needs-a-reply, FYI, and noise, and hands you the priority list with a suggested next move on each. Save it, run it every morning with one click.
A master agent runs the whole thing. One agent reads your metrics, another drafts the update in your voice, a third checks it for any unsupported claim before it reaches you. Several tools, several specialist agents, one recipe, on a schedule.
Where recipes are headed: pin a step to a specific model with hard rails, so the sensitive work runs exactly how you require, every time. Model-pinned, guardrail-aware steps are on the roadmap.
Forty-five specialist agents come built in: analyst, investor relations, compliance editor, researcher, and more. Or define your own. Recipes, agents, and scheduled automation are all yours at the $20 tier.
Describe what you want in plain words and Quinn builds it, runs it, and fixes it when it breaks. A tracker, an intake form, a weekly report, a sync between tools. It does the work; you direct it.
All the tools and resources, in one place, for one price. You do not buy features one at a time and you do not pay for seats. You join, and it is all yours.
A room full of people building the same things you are, with more real support than any paid course. Ask anything, build anything. We are right there in the channel.
Connect Quinn to the apps you already talk in. Discord, Slack, Teams. Your AI workforce reads the thread, builds the thing, and hands it back, right where you work.
The training that takes you from using AI to directing it. Real things you build, not videos you watch. You learn by shipping, and the dojo grows with you.
Twenty dollars covers a generous amount every month. Past that, you pay for what you actually use. No seats, no lock-in, no draining counter.
Save anything you build as a recipe and hand it to anyone with a link. When someone improves it, your copy improves too. The whole community gets smarter.
No setup ritual, no course to finish first. Join, connect the tools you already use, and build the thing you have been putting off. Today.
Connect Quinn to the apps you already talk in. Discord, Slack, Teams, whatever your team lives in. Now your AI workforce is everywhere you are. It reads the thread, builds the thing, runs the job, and hands it back, right where you work. One intelligence, every surface, nothing new to learn.
You built your business to where it is by being excellent at everything. Now that excellence is the trap. Every decision, every approval, every strategic call runs through you. The only solution anyone offers is: hire another person. There’s a different answer.
This isn’t about replacing humans. It’s about stopping the work your humans shouldn’t be doing in the first place so they can do the work that actually requires them.
And most operators are still using it the way they used Google in 2008. There’s a gap forming between how AI can be used and how almost everyone is actually using it. Here’s where it is.
You open Claude or ChatGPT. You type a prompt. You get something useful: maybe a draft, maybe an idea. You close the tab. Tomorrow, you start from zero.
Nothing is saved. Nothing is trained. Nothing is connected. Every prompt is a fresh start. There’s no compounding. No infrastructure. No leverage.
And when you hit a ceiling, the default is the same as it’s always been: hire another person. More overhead. More management. More complexity.
Six months ago, AI could write text. Maybe draft an email. That was about it.
Now it can read your spreadsheets, connect to your apps, run on a schedule, build entire applications, and execute multi-step workflows across your business without you sitting there.
AI-Native foundations (systems that know your context, your voice, your data, your decision patterns) didn’t exist twelve months ago. They do now. And the operators who figure this out first are pulling ahead at speeds that don’t make sense to anyone still in the old model.
An AI-Native foundation that knows who you are, what you’re building, how you operate, and where you’ve been. Not a chatbot you re-explain yourself to every session. An actual operating layer.
This is what we build for Light Brands enterprise clients raising $3M to $75M+. Multi-feature platforms shipped in 60-90 days that would take traditional dev teams a year. We’ve done it 40+ times in the last twelve months.
Your four sessions are the same architecture, sized for one operator running their own thing. Same thinking. Smaller scope. By session four, yours is live.
Your AI-Native foundation is a living system that knows your business inside out. That’s the deliverable. And it’s the platform everything else gets built on.
The foundation is the brain underneath everything: the context layer, the voice profile, the decision framework, the workflows. Once you own it, you build whatever you want on top. Products. Dashboards. Internal tools. Full software. The businesses you’ve been carrying in your head for years.
The operators we’ve trained didn’t stop at the foundation. Joe shipped a million lines of code on Growth Mastery. Aidan built LovingIsAI. Brandon built Industree. Jennifer fully developed RosesOS. Will partnered with us on Tekku and Nanora. The foundation unlocked what was already waiting.
Your foundation. Then your work.

Built by AI-native business developers, for people who already know they want to be AI-native. We are builders at our soul, so we built it the way we would want to use it.
Dan and the Light Brands team.
Ten of the platforms the studio has built and the ninjas have shipped on. Click any one to see the live site.
Everyone has the same handful of beliefs running in the background. Most are partially true. All are solvable. Here are the ones that come up most.
This is the most common thing I hear and it’s the most wrong. AI is not a technical skill. It’s a communication skill. If you can explain how your business works to a new hire, you can build an AI-Native foundation.
You’re not writing code. You’re not building software in the traditional sense. You’re telling AI what your business does, how you talk, what your customers need, and what work needs to get done. That’s the entire game.
The people who do best in this aren’t the most technical. They’re the clearest communicators.
You’re right. Most AI output IS terrible. If you open ChatGPT and type “write me an email,” you’ll get something that sounds like a robot with a thesaurus.
But that’s what happens when there’s no system. The AI doesn’t know your business, your voice, your customers, or your standards. It’s guessing. When you build on an AI-Native foundation using the architecture I teach in our sessions, it’s trained on YOUR data, YOUR voice, and YOUR processes.
The output doesn’t sound like AI because it’s not generic AI. It’s your brain, multiplied.
Your AI-Native foundation runs ON Claude (or your preferred AI). The difference is the system around it: the trained context, the persistent memory, the voice profile, the decision framework, the execution patterns, and the integration with your tools.
It’s the difference between hiring a person off the street and giving them a one-time task, versus having them on your team for two years. Same person. Wildly different output. The thing that changed was the context, the training, and the integration.
These sessions build all of that. You’re not replacing Claude. You’re building an operating layer on top of it.
This is the most common concern I hear and the one that dissolves fastest. The Light Brands engine has built platforms for fintech, biotech, real estate, agencies, coaches, consultants, manufacturing, and high-end services.
AI doesn’t care about your industry. It cares about your workflows. Every business has context, voice, decisions, and integration points. The architecture is universal. The data you feed it is what makes it yours.
If you can articulate your business clearly, the architecture works.
It’s the opposite. These sessions are specifically engineered for solo operators. The Light Brands enterprise builds are for teams with multiple departments. We took that architecture and re-sized it for one person running their own thing.
If anything, you benefit more than a bigger team. When you’re solo, every hour you reclaim from execution work goes straight back into strategy. There’s no committee to convince. You see the results immediately.
Solo founders see the leverage faster than any other audience.
No. Your AI-Native foundation replaces the WORK your team shouldn’t be doing in the first place: the repetitive, mechanical execution that drains them.
Your team stops drafting routine emails and starts running strategy. They stop formatting reports and start solving real problems. Their job gets better, not worse.
The most valuable human in the room isn’t the one who can do the most work. It’s the one who can build the systems that do the work. These sessions teach that skill.
Four 60-minute sessions, about four hours total, scheduled around you.
Right now you’re probably spending 10 to 20 hours a week on repetitive execution work: following up, updating, reporting, formatting, scheduling. Over a year that’s 500 to 1,000 hours lost to work your AI-Native foundation could handle.
The four hours you invest here will pay back hundreds of hours over the next year. The math isn’t subtle.
Most AI courses teach AI. These sessions train you to build a working AI-Native foundation inside YOUR business with YOUR data.
The difference: every session produces a real artifact you’ll use in your business. By session one, your Context Document exists. By session three, you have three workflow specs. By session four, your foundation is live, your first build integrated and running.
You don’t leave inspired. You leave operational.
Not a problem. The four sessions are booked one-on-one around your calendar, so we simply find the next time that works for both of us.
There’s no cohort to fall behind and no group cadence to keep up with. The sessions move at your pace, in the order that builds your system fastest.
Every session is recorded and yours to keep, so if you want to revisit anything we covered, it’s always there. You won’t lose progress.
Twenty dollars a month gets you the whole dojo: every tool, the community, the training, and Quinn building alongside you. On top of that you pay only for what you actually process. No seats, no lock-in.
It is month to month. Cancel any time and you stop being billed. The membership is the product, and it is meant to earn its place every single month.
The bar is low to start and the value is supposed to be obvious fast. If it is not, you leave, no friction.
The $20 membership is the whole offer. Most people join, connect their tools, and start building the same day. You do not need anything else to get real work done in the dojo.
The 1-on-1 with Dan is the upsell for when you want it built with you. Four private sessions, your foundation built live around your real business, and a direct line to Dan after. It is the deep end, not the entry point.
Start with the $20. If you decide you want Dan in the room building it with you, the 1-on-1 is there when you want it.
Four private sessions, sixty minutes each, one-on-one with Dan. Each one builds on the last. You walk in with a business and a lot of open tabs. You walk out AI-Native, with a Quinn workforce that knows your work and the judgment to run it yourself.
We start with your business, not the tools. Who you are, what you do, how you operate, where the time actually goes. By the end of the hour you know exactly what AI-Native means for your operation, and what your co-worker has to handle first.
We build your Quinn workforce together. The four layers: an AI-committed founder, your context, your workflows, your memory. The same architecture we deploy for enterprise clients, built live around your real work.
The shift from doer to director. You learn to direct it: how to hand it real work, how to give it judgment instead of just tasks, how to correct it when it drifts. This is the skill that turns one operator into a team.
We wire it into the day. Slack, Notion, Gmail, wherever your work lives. We pressure-test it on live work, fix what breaks, and hand you the system. You leave running it solo, AI-Native, no training wheels.
Sessions are scheduled around you, usually one a week over a month. By the fourth, your co-worker is live and yours.
One payment books all four private sessions with Dan. We schedule them around you, usually one a week over a month. You leave the fourth with a working AI co-worker live in your business.
There’s no subscription and nothing to renew. You own the system, the recordings, and the skill to run it. A direct line to Dan stays open for two weeks after the last session.
Because these are run one-on-one, only a handful are open at a time. When Dan’s calendar is full, the next opening is the next opening.
You leave session four with a working AI co-worker live in your daily workflow. If you don’t, we keep working together until you do, at no extra cost.
The burden is on the work to deliver an outcome, not on you to absorb content and hope it sticks. We’ve done this 100+ times. Yours ships, or we’re not done.
Same problem. Two very different next years.
A few openings at a time
Join the dojo for $20, jump in the Discord, connect your tools, and build the thing you have been putting off. Today.